46 citations · 72 across the 4 of their papers we have counts for
4 papers
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
Behrooz Azarkhalili, Maxwell Libbrecht
This paper introduces Generalized Attention Flow (GAF), a novel feature attribution method for Transformer-based models to address the limitations of current approaches. By extendi…
SplitStrains, a tool to identify and separate mixed Mycobacterium tuberculosis infections from WGS data
Einar Gabbassov, Miguel Moreno-Molina, Iñaki Comas +2
The occurrence of multiple strains of a bacterial pathogen such as M. tuberculosis or C. difficile within a single human host, referred to as a mixed infection, has important impli…
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning
M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead +5
Drug repurposing can accelerate the identification of effective compounds for clinical use against SARS-CoV-2, with the advantage of pre-existing clinical safety data and an establ…
Segmentation and genome annotation algorithms
Maxwell W Libbrecht, Rachel CW Chan, Michael M Hoffman
Segmentation and genome annotation (SAGA) algorithms are widely used to understand genome activity and gene regulation. These algorithms take as input epigenomic datasets, such as…